A Method for Implementing a Probabilistic Model as a Relational Database. - S. K. Michael Wong; Cory J. Butz; Yang Xiang (UAI, 1995)

Probabilistic Reasoning in a Distributed Multi-Agent Environment. - S. K. Michael Wong; Cory J. Butz (ICMAS, 1998)

Equivalent Characterization of a Class of Conditional Probabilistic Independencies. - S. K. Michael Wong; Cory J. Butz (Rough Sets and Current Trends in Computing, 1998)

Automated Database Schema Design Using Mined Data Dependencies. - S. K. Michael Wong; Cory J. Butz; Yang Xiang (J. Am. Soc. Inf. Sci., 1998)

Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. - Cory J. Butz; S. K. Michael Wong (IDEAS, 1999)

On Information-Theoretic Measures of Attribute Importance. - Yiyu Yao; S. K. Michael Wong; Cory J. Butz (PAKDD, 1999)

Contextual Weak Independence in Bayesian Networks. - S. K. Michael Wong; Cory J. Butz (UAI, 1999)

A Comparative Study of Noncontextual and Contextual Dependencies. - S. K. Michael Wong; Cory J. Butz (ISMIS, 2000)

Rough Sets for Uncertainty Reasoning. - S. K. Michael Wong; Cory J. Butz (Rough Sets and Current Trends in Computing, 2000)

On the implication problem for probabilistic conditional independency. - S. K. Michael Wong; Cory J. Butz; Dan Wu 006 (IEEE Trans. Syst. Man Cybern. Part A, 2000)

On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. - Cory J. Butz (Web Intelligence, 2001)

Constructing the Dependency Structure of a Multiagent Probabilistic Network. - S. K. Michael Wong; Cory J. Butz (IEEE Trans. Knowl. Data Eng., 2001)

On the Role of Contextual Weak Independence in Probabilistic Inference. - Cory J. Butz; Manon J. Sanscartier (AI, 2002)

Exploiting contextual independencies in Web search and user profiling. - Cory J. Butz (FUZZ-IEEE, 2002)

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. - Hong Yao; Howard J. Hamilton; Cory J. Butz (ICDM, 2002)

Critical Remarks on Bayesian Network Libraries. - Cory J. Butz (JCIS, 2002)

Acquisition Methods for Contextual Weak Independence. - Cory J. Butz; Manon J. Sanscartier (Rough Sets and Current Trends in Computing, 2002)

A Method for Detecting Context-Specific Independence in Conditional Probability Tables. - Cory J. Butz; Manon J. Sanscartier (Rough Sets and Current Trends in Computing, 2002)

Properties of Weak Conditional Independence. - Cory J. Butz; Manon J. Sanscartier (Rough Sets and Current Trends in Computing, 2002)

Triangulation of Bayesian Networks: A Relational Database Perspective. - S. K. Michael Wong; Dan Wu 006; Cory J. Butz (Rough Sets and Current Trends in Computing, 2002)

A New Inference Axiom for Probabilistic Conditional Independence. - Cory J. Butz; S. K. Michael Wong; Dan Wu 006 (AI, 2003)

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. - S. K. Michael Wong; Dan Wu 006; Cory J. Butz (AI, 2003)

Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. - Cory J. Butz; H. Geng (ISMIS, 2003)

Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. - Cory J. Butz; Qiang Hu; Xue Dong Yang (RSFDGrC, 2003)

A Non-local Coarsening Result in Granular Probabilistic Networks. - Cory J. Butz; Hong Yao; Howard J. Hamilton (RSFDGrC, 2003)

A Query Processing Algorithm for Hierarchical Markov Networks. - Cory J. Butz; Jidong Liu (Web Intelligence, 2003)

Towards Jointree Propagation with Conditional Probability Distributions. - Cory J. Butz; Hong Yao; Howard J. Hamilton (Rough Sets and Current Trends in Computing, 2004)

A Foundational Approach to Mining Itemset Utilities from Databases. - Hong Yao; Howard J. Hamilton; Cory J. Butz (SDM, 2004)

A Web-Based Intelligent Tutoring System for Computer Programming. - Cory J. Butz; Shan Hua; R. Brien Maguire (Web Intelligence, 2004)

An Integrated Approach to Discovery in Complex Information Spaces. - Daryl H. Hepting; Cory J. Butz (Workshop on Web-based Support Systems, 2004)

Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre. - Yiyu Yao; Jingtao Yao 001; Cory J. Butz; Pawan Lingras; Dawn N. Jutla (Web Intelligence, 2004)

Causal Discovery. - Hong Yao; Cory J. Butz; Howard J. Hamilton (The Data Mining and Knowledge Discovery Handbook, 2005)

Incorporating Evidence in Bayesian Networks with the Select Operator. - Cory J. Butz; F. Fang (Canadian AI, 2005)

Interval set representations of 1-v-r support vector machine multi-classifiers. - Pawan Lingras; Cory J. Butz (GrC, 2005)

Modelling Multiagent Bayesian Networks with Inclusion Dependencies. - Cory J. Butz (IAT, 2005)

Sophisticated Indexes for Implementing Probabilistic Expert Systems. - Cory J. Butz; F. Fang (IICAI, 2005)

On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. - Cory J. Butz; Pawan Lingras (IICAI, 2005)

The Computational Complexity of Inference Using Rough Set Flow Graphs. - Cory J. Butz; Wen Yan; Boting Yang (RSFDGrC (1), 2005)

Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. - Pawan Lingras; Cory J. Butz (RSFDGrC (2), 2005)

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. - Dan Wu 006; Cory J. Butz (RSFDGrC (1), 2005)

An Improved LAZY-AR Approach to Bayesian Network Inference. - Cory J. Butz; Shan Hua (Canadian AI, 2006)

An Efficient Algorithm for Inference in Rough Set Flow Graphs. - Cory J. Butz; Wen Yan; Boting Yang (Trans. Rough Sets, 2006)

A web-based bayesian intelligent tutoring system for computer programming. - Cory J. Butz; Shan Hua; R. Brien Maguire (Web Intell. Agent Syst., 2006)

Precision and Recall in Rough Support Vector Machines. - Pawan Lingras; Cory J. Butz (GrC, 2007)

Current Trends in Bayesian Network Inference. - Cory J. Butz (IICAI, 2007)

Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification. - Pawan Lingras; Cory J. Butz (Inf. Sci., 2007)

A Web-Based Interface for Hiding Bayesian Network Inference. - Cory J. Butz; Pawan Lingras; Ken Konkel (ISMIS, 2008)

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. - Cory J. Butz; Junying Chen; Ken Konkel; Pawan Lingras (FLAIRS, 2009)

A formal comparison of variable elimination and arc reversal in Bayesian network inference. - Cory J. Butz; Junying Chen; Ken Konkel; Pawan Lingras (Intell. Decis. Technol., 2009)

A simple graphical approach for understanding probabilistic inference in Bayesian networks. - Cory J. Butz; Shan Hua; Junying Chen; Hong Yao (Inf. Sci., 2009)

A join tree probability propagation architecture for semantic modeling. - Cory J. Butz; Hong Yao; Shan Hua (J. Intell. Inf. Syst., 2009)

Rough support vector regression. - Pawan Lingras; Cory J. Butz (Eur. J. Oper. Res., 2010)

Join tree propagation with prioritized messages. - Cory J. Butz; Shan Hua; Ken Konkel; Hong Yao (Networks, 2010)

Causal Discovery. - Hong Yao; Cory J. Butz; Howard J. Hamilton (Data Mining and Knowledge Discovery Handbook, 2010)

The CPT Structure of Variable Elimination in Discrete Bayesian Networks. - Cory J. Butz; Wen Yan; Pawan Lingras; Y. Y. Yao (Advances in Intelligent Information Systems, 2010)

Using Four Cost Measures to Determine Arc Reversal Orderings. - Cory J. Butz; Anders L. Madsen; Kevin Williams (ECSQARU, 2011)

Special Track on Uncertain Reasoning. - Laurent Perrussel; Cory J. Butz (FLAIRS, 2011)

Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which". - Cory J. Butz (SUM, 2011)

Join tree propagation utilizing both arc reversal and variable elimination. - Cory J. Butz; Ken Konkel; Pawan Lingras (Int. J. Approx. Reason., 2011)

Conservative and aggressive rough SVR modeling. - Pawan Lingras; Cory J. Butz (Theor. Comput. Sci., 2011)

Special Track on Uncertain Reasoning. - Cory J. Butz (FLAIRS, 2012)

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. - Cory J. Butz; Wen Yan; Anders L. Madsen (Canadian AI, 2013)

On Semantics of Inference in Bayesian Networks. - Cory J. Butz; Wen Yan; Anders L. Madsen (ECSQARU, 2013)

On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. - Anders L. Madsen; Cory J. Butz (ECSQARU, 2013)

Ordering arc-reversal operations when eliminating variables in lazy AR propagation. - Anders L. Madsen; Cory J. Butz (Int. J. Approx. Reason., 2013)

Editorial: Uncertain reasoning FLAIRS 2011. - Laurent Perrussel; Cory J. Butz (Int. J. Approx. Reason., 2013)

Rough Support Vectors: Classification, Regression, Clustering. - Pawan Lingras; Parag Bhalchandra; Cory J. Butz; S. Asharaf (Rough Sets and Intelligent Systems (1), 2013)

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. - Anders L. Madsen; Cory J. Butz (Canadian AI, 2015)

Introducing Darwinian Networks (Invited Presentation). - Cory James Butz (FLAIRS, 2015)

Determining Good Elimination Orderings with Darwinian Networks. - Cory James Butz; Jhonatan Souza Oliveira; André Evaristo dos Santos (FLAIRS, 2015)

Uncertain reasoning at FLAIRS. - Christoph Beierle; Cory J. Butz; Souhila Kaci (J. Appl. Log., 2015)

On Tree Structures Used by Simple Propagation. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (Canadian AI, 2016)

Bayesian Network Inference with Simple Propagation. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; Anders L. Madsen (FLAIRS, 2016)

Testing Independencies in Bayesian Networks with i-Separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (FLAIRS, 2016)

Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira (Probabilistic Graphical Models, 2016)

Bayesian network inference using marginal trees. - Cory J. Butz; Jhonatan de S. Oliveira; Anders L. Madsen (Int. J. Approx. Reason., 2016)

Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. - Jhonatan de S. Oliveira; Cory J. Butz; André E. dos Santos (Canadian AI, 2017)

On Converting Sum-Product Networks into Bayesian Networks. - André E. dos Santos; Cory J. Butz; Jhonatan de S. Oliveira (Canadian AI, 2017)

On Finding Relevant Variables in Discrete Bayesian Network Inference. - Cory James Butz; André Evaristo dos Santos; Jhonatan Souza Oliveira (FLAIRS, 2017)

On learning the structure of sum-product networks. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (SSCI, 2017)

On Darwinian Networks. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (Comput. Intell., 2017)

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; John Stavrinides (IEA/AIE, 2018)

An Empirical Study of Methods for SPN Learning and Inference. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; André L. Teixeira; Pascal Poupart; Agastya Kalra (PGM, 2018)

Simple Propagation with Arc-Reversal in Bayesian Networks. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (PGM, 2018)

On a simple method for testing independencies in Bayesian networks. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (Comput. Intell., 2018)

An empirical study of Bayesian network inference with simple propagation. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; Anders L. Madsen (Int. J. Approx. Reason., 2018)

An empirical study of testing independencies in Bayesian networks using rp-separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (Int. J. Approx. Reason., 2018)

Deep Convolutional Sum-Product Networks. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; André L. Teixeira (AAAI, 2019)

Exploiting Symmetry of Independence in d-Separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Anders L. Madsen (Canadian AI, 2019)

Solving Influence Diagrams with Simple Propagation. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (Canadian AI, 2019)

On the Tree Structure of Deep Convolutional Sum-Product Networks. - Cory J. Butz; André Lobo Teixeira; André E. dos Santos; Jhonatan de S. Oliveira (FLAIRS, 2019)

Sum-Product Network Decompilation. - Cory J. Butz; Jhonatan de S. Oliveira; Robert Peharz (PGM, 2020)

Upward Pass Semantics in Arithmetic Circuit Inference. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; Anna Norris; Kadence Meredith (Canadian AI, 2023)

A Comparison of Different Marginalization Operations in Simple Propagation. - Anders L. Madsen; Cory J. Butz (ECSQARU, 2023)

Optimizing Rough Set Flow Graph Inference. - Jun Wang; Cory J. Butz (IJCRS (1), 2024)

Towards Inference in Arithmetic Circuits by Exploiting Barren Variables. - Cory J. Butz; Jhonatan de S. Oliveira; Kadence Meredith (Canadian AI, 2025)

On Fast arc-reversal. - Cory J. Butz; Anders L. Madsen; Jhonatan de S. Oliveira (Int. J. Approx. Reason., 2025)